MIT researchers unveil new system to improve fake news detection

Bad actors are increasingly using more advanced methods to generate fake news and fool readers into thinking they are legitimate. AI-based text generators, including OpenAI's GPT-2 model, which try and imitate human writers play a big part in this. To mitigate this, researchers have developed tools to detect artificially generated text. However, new research from MIT suggests there might be a fundamental flaw in the way these detectors work. TNW's finance, blockchain, and business event is coming up soon Traditionally, these tools trace back a text's writing style to determine if it's written by humans or a bot. They assume text written by humans is always legitimate and the text generated by bots is always fake.